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Remote Data Platform Engineer Jobs in Spokane, WA

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... platform strategy, and governance standards. This role shapes how data is collected, modeled ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Lead and build out data services/platforms from scratch (using OpenSource tech). * Creating and ...

Gravity Jack

Senior iOS Developer

Spokane, WA · Remote

$60.75 - $78.50/hr

Experience working with the Unity platform * Deep understanding of Objective-C, Swift and iOS ... Experience working with remote data via REST * Experience with third-party libraries and APIs

Leidos

Lead EPC Substation Project Engineer

Spokane, WA · On-site +1

$99K - $126K/yr

This role has remote working capabilities, but candidates should be located in the Pacific ... Assure proper documentation of project technical data. * Ensure and facilitate project team ...

Corporate Tools

Site Reliability Engineer

Post Falls, ID · On-site +1

$175K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Deep experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code tools such as ...

amphenol

Broadband Sales Engineer

Liberty Lake, WA · Remote

$100K - $135K/yr

S.-based Strategic Accounts team in a remote role. ESSENTIAL DUTIES AND RESPONSIBILITIES * Partner ... Understand broadband operational environments, including headends, regional data centers, OSP ...

Honeywell

Field Service Engineer I

Spokane, WA · On-site +1

$29.71 - $37.12/hr

You will report to the Senior Tech Support Supervisor based in Framingham, MA and follow a Remote ... Understanding the purpose of a database, what an SQL database engine is, and how it stores data.

Honeywell

Field Service Engineer I

Spokane, WA · On-site +1

$29.71 - $37.12/hr

You will report to the Senior Tech Support Supervisor based in Framingham, MA and follow a Remote ... Understanding the purpose of a database, what an SQL database engine is, and how it stores data.

Corporate Tools

iOS App Developer

Post Falls, ID · On-site +1

$120K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... corporations can get your meta data. Running a second phone line and keeping our users ...

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All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Spokane, WA

Remote Data Platform Engineer information

See Spokane, WA salary details

$45K

$131.2K

$179.5K

How much do remote data platform engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote data platform engineer in Spokane, WA is $131,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are popular job titles related to Remote Data Platform Engineer jobs in Spokane, WA? For Remote Data Platform Engineer jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Spokane, WA look for? The top searched job categories for Remote Data Platform Engineer jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Remote Data Platform Engineer jobs? Cities near Spokane, WA with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Posted 27 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements:
None